Enterprise Asset Management (EAM's) lens into the life cycle of physical assets comes from..... accessing artificial intelligence and maintenance, IoT connectivity, and predictive analytics. It involves asset tracking, cloud-based EAM platforms, and AI-enabled maintenance solutions. From the reach of efficient processes to asset utilization, energetic infrastructure management, and monitoring the digitized twins of asset performance, with such a mechanisms-based frame, this text discusses the applicability in further details. Ease of working closely with the industries like manufacturing, transportation, and energy, successfully capturing higher operational efficiencies, less downtime, and extension of the lifespan of assets now depend on the uses of EAM. Artificial intelligence and big data in EAM have surged rapidly, are revolutionizing asset-management systems globally with consideration for the sustainable aspect, and addressing cost rationalization as companies favoring societal impacts.Read More
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